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Multi-agent architectures are reshaping how we build AI applications. From orchestration frameworks to emergent collaboration patterns, here's what's driving the next wave.
Every serious agent deployment rests on the same five layers. Understanding this stack is the difference between shipping fast and rebuilding from scratch every six months.
After deploying dozens of agent systems to production, the same failure modes appear again and again. Here's what actually breaks — and how to fix it before it happens.
We put Claude Opus 4.6 through 200 real-world agentic tasks — not synthetic benchmarks. Here's what it actually does well, where it struggles, and how it compares to GPT-5 Turbo.
Prompting a single LLM and prompting an agent system require completely different mental models. Here's the playbook we've developed from hundreds of production deployments.